BIOSTATISTICS SEMINAR
Statistical Considerations in Cross-Sectional
HIV Incidence Estimation
Jacob Konikoff, Faculty candidate
Department of Biostatistics
UCLA
Abstract
Tracking and surveillance of the HIV epidemic depend on accurate estimation
of the number of new infections in the population. The rate at which these
infections occur, known as the incidence, is also critical for effectively
designing, targeting, and evaluating prevention efforts. This talk focuses on
recent advances in estimating HIV incidence through cross-sectional surveys.
We develop and discuss biomarker-based sequential classification algorithms
that mark individuals in an early disease stage as recent infections. We
further derive sample size methodology for executing both single and
successive cross-sectional surveys. Our findings show both the limitations
and growing promise of cross-sectional methods for estimating HIV
incidence.
.The Johns Hopkins Bloomberg School of Public Health, Department of
Biostatistics, Monday, January 12, 2015, 12:15-1:15, Room W3030
School of Public Health (Refreshments: 12:00-12:15)
Note: Taking photos during the seminar is prohibited For disability access information or
listening devices, please contact the Office of Support Services at 410-955-1197 or on the Web at
www.jhsph.edu/SupportServices. EO/AA